CyberVein's big-data solution is designed around the PISR (Private, Interlink, Secure, Robust) distributed database model. Database operations are recorded on the CyberVein blockchain network, which operates on a Proof-of-Contribution (PoC) consensus mechanism. This solution targets enterprise-level customized services within the "blockchain + big-data" domain. CVT is the native utility token utilized for: * Storage payment: Data owners remit the corresponding storage fees based on the file size and bandwidth consumed during the process. * Computing power payment: Payments from users to owners for usage, and compensation to software developers, are exclusively conducted in CVT. * Data exchange: On CyberVein's federated learning platform, data acquirers purchase data at a price agreed upon by both parties for distributed modeling applications. * CROSS NFT issuance payment: Dapp businesses are required to pay for storage and data exchange based on the network resources utilized, and may use CyberVein tokens as a method of payment to issue NFTs or conduct business according to their chosen business model. CyberVein tools include: * PISR Consortium database: Provides enhanced data management through safe and reliable virtual machine operation and user data maintenance. It efficiently aggregates upstream data and enables data traceability and tracking to ensure the reliability of data sources and outputs. This facilitates cross-level and cross-departmental data sharing, enhancing the timeliness, diversity, stock, and density of data to realize its commercial value and effectively address issues in data flow. * DAG storage chain: Offers safer data storage with improved efficiency, eliminates block confirmations, reduces transaction fees, and removes the need for miners. It supports asynchronous verification and parallel processing of each node; the more nodes, the faster the speed and scalability, enhancing overall scalability. The database backup on the DAG storage chain provides an additional layer of security for businesses. * Cytrix: Facilitates GPU sharing. Nodes can contribute part of their GPU to the network and receive compensation through the Proof of Contribution mechanism. The contributed GPU can support enterprises or individuals in data modeling with federated learning. * Federated Learning Platform: Allows data monetization via a distributed machine learning workflow. Datasets are trained locally, keeping all parties' data local without compromising privacy or violating regulations. Individual terminals return trained models to the server to create a shared model, effectively protecting data privacy and security, resolving information silo issues, and realizing the value of data. The platform also offers algorithms to support data modeling operations by enterprises and individuals. To explore more details, you can visit Eulerpool.

CyberVein initiated its project on March 26, 2018, with the creation of 2,147,483,648 (~2.1 billion) CVT tokens at its genesis. The token, which is pre-mined, features a fixed supply. CyberVein strategically avoids inflating its token supply—an approach some token economies use that essentially requires token holders to subsidize the network's application activity. Instead, CyberVein is engineered for long-term sustainable operation, primarily deriving revenue from big-data service fees collected through the DAVE alliance. To support network activities during the initial bootstrap phase, a capped reserve pool was established. This pool is designated for ecosystem expansion and for offering proof-of-contribution token rewards. The allocation is as follows: 50% Pool 1 - Long-term Reserves * 30% allocated to Foundation Funds for Long-Term Reserves * 15% allocated to Technology Development * 5% allocated to Marketing Events 36% Pool 2 - Private Sale 10% Pool 3 - Team and Founding Partners 4% Pool 4 - Advisor For further details, you can find information on Eulerpool.

CyberVein's big-data solution was developed by the CV Technology Foundation, with its whitepaper authored by Arthur Yu and Jack Ge. Both individuals will remain integral members of CyberVein’s executive team, with Arthur Yu assuming the role of Global Director and Jack Ge serving as Global Ambassador. For more information, please refer to Eulerpool.

CyberVein (CVT) can be accessed on a variety of exchanges, including Poloniex, Bittrex Global, OKEx, MXC, Bitbns, among others. Certain platforms provide the option to use fiat currencies for transactions, which can be done via bank transfer or credit card. For comprehensive information, please refer to Eulerpool.

CyberVein is not simply a blockchain project; it represents a blockchain-based big-data solution. CyberVein specifically addresses security concerns associated with enterprise-level database usage, along with the feasibility of standardized and legalized data monetization. This is increasingly relevant given the rising concerns regarding data privacy breaches and data losses caused by database failures. By installing the PISR database on a server, a consortium database is established among servers, accessible solely by the client, similar to other databases. This setup creates sufficient distributed redundancies, and the states and actions of databases are recorded on the blockchain, functioning like a time machine. This approach ensures that: - A single point of failure does not result in data loss. - Databases can roll back in accordance with the blockchain hash. - Any malicious activities are logged and visible within the consortium database and subsequently denied. - It provides a functional interface for supervisory audits, supports supervisory audit access, and offers comprehensive blockchain index monitoring to ensure operational quality. Additionally, the Directed Acyclic Graph (DAG) storage chain mirrors a sharded copy of the database, extending beyond the consortium database and being stored globally, providing an extra layer of security. The federated learning platform is not a product; it is an innovative workflow that enables machine learning training to be conducted locally on the terminal rather than on a centralized server. This approach ensures that sensitive information remains on the server and is never exposed externally.